Show simple item record

FieldValueLanguage
dc.contributor.authorWhite, Sam
dc.contributor.authorGong, Houchen
dc.contributor.authorZhu, Lin
dc.contributor.authorDoust, Jenny
dc.contributor.authorLoh, Tze Ping
dc.contributor.authorLord, Sally
dc.contributor.authorHorvath, Andrea
dc.contributor.authorMcGeechan, Kevin
dc.contributor.authorBell, Katy J.L.
dc.date.accessioned2022-02-03T03:17:43Z
dc.date.available2022-02-03T03:17:43Z
dc.date.issued2021en
dc.identifier.urihttps://hdl.handle.net/2123/27391
dc.description.abstractThe aim of this research was to determine the impact of test measurement variation on misclassification of prediabetes and diabetes in the US adult population. Data from adults with no prior diagnosis of diabetes in the 2015-2016 National Health and Nutrition Examination Survey (NHANES) were used to simulate populations of US adults eligible for screening. Estimates of measurement variation were applied to each simulated individual's true values to generate observed values for up to 5 repeated screens.en
dc.language.isoenen
dc.publisherElsevieren
dc.relation.ispartofJournal of Clinical Epidemiologyen
dc.rightsCopyright All Rights Reserveden
dc.subjectDiabetes mellitusen
dc.subjectprediabetesen
dc.subjectglycated hemoglobin Aen
dc.subjectfasting blood glucoseen
dc.subjectmedical overuseen
dc.subjectoverdiagnosisen
dc.titleSimulations found within-subject measurement variation in glycaemic measures may cause overdiagnosis of prediabetes and diabetes.en
dc.typeArticleen
dc.subject.asrc1117 Public Health and Health Servicesen
dc.identifier.doi10.1016/j.jclinepi.2021.12.025
dc.type.pubtypePublisher's versionen
usyd.facultySeS faculties schools::Faculty of Medicine and Health::Sydney School of Public Healthen
workflow.metadata.onlyYesen


Show simple item record

Associated file/s

There are no files associated with this item.

Associated collections

Show simple item record

There are no previous versions of the item available.